SAM 3: Grasping Objects with Natural Language Instructions for Robots

This article from Zenn CV discusses the application of natural language processing to control robot grasping. The author, from ExaWizards' ESU ML group, aims to calculate grasping positions from natural language instructions. The article highlights existing methods like CAD model registration and AI training with annotated images, but points out their limitations due to extensive pre-preparation and inflexibility. The focus is on overcoming these limitations by enabling robots to grasp objects based on natural language commands, potentially improving adaptability and reducing setup time.

• •The project focuses on enabling robots to grasp objects based on natural language commands.
• •Existing methods like CAD model registration and AI training with annotated images have limitations.
• •The goal is to improve adaptability and reduce setup time for robot grasping.